Ninedifferentdebiasing algorithms (and a baseline) have been evaluated with this dataset using the popular ResNet-18 network[36]. CelebA contains faces of celebrities with several binary task labelsandtwoprotected labels(genderandyouth). Table 3showsthe prediction results from a biased binary classifier and its bias values using the seven metrics. Without losing generality, we consider "Sport" the positive class in the binary classifier. Following the DP formula in Appendix A.2, for the "Sport" class, thePPRfemale is 45.0% (90 /200), andPPRmale is65.0%

Neural Information Processing Systems http://nips.cc/

This work has the potential for wide-ranging applications in human-in-the-loop (e.g. We set the radius of agents to 0.3, the radius of The dataset will be made public. The only difference of our model's architecture to theirs is that we use agent-centric representations Then, we construct an edge from the agent that corresponds to the row to the "column agent" then compare this with the ground truth graph. The smaller the circle, the further it is into the future.

In practice, the target sequence often follows certain model properties or patterns (e.g., reasonable ranges, consecutive changes, resource constraint, temporal correlations between multiple variables, existence, unusual cases, etc.). However,RNNs cannot guarantee their learned distributions satisfy these properties.